🎁 Securing your crypto journey, one block at a time.

AI-Powered Multi-Channel Fraud & Impersonation Detection (MUFG Hackathon Usecase 6)

Collection of samples/usecases using one or more features within TIBCO BusinessEvents.

Classic BWS: BWS HTML5 Unified User Interface

A decentralized fitness accountability framework using ETH staking, smart contracts, and fraud-resistant goal validation, inspired by behavioral psychology.

This project automates bank credit risk assessment using AI and machine learning models to predict loan defaults. It streamlines the credit process with predictive analytics, model evaluation, explainability (SHAP), and deployment readiness.

🤖 Real-time WhatsApp Scam Detector powered by AI and automation – Protect your users, your business, and your peace of mind.

MVP Fraud Engine Monorepo — dashboard frontend, API backend, dan fraud detection engine

Browser unique signature (Fingerprint) generator. The package allow you to identify user online using their browser unique properties to generate ID

Backend repository for the payments based fraud detection system as a service

An Automated Official Doc Managemnt system using AI and Blockchain with secure storage via IPFS. User profiles include Issuing Authorities, Verifiying authorities and Individuals.

Official command-line interface for Greip

This is an Online Transaction Fraud Detection System (FDS) to detect payment frauds. Made using Django.

SpamSpot is a powerful tool designed to enhance your online safety and protect you from spam and scam comments on Instagram, particularly on finance-related Instagram pages.

API em Node.js para verificar fraudes em transações em e-commerce.

Use Hazelcast and AWS Lambda to detect fraudulent transactions.

A UI tool to review potentially fraudulent transactions and perform operations on them

A NodeJS client for BigDataCloud API connectivity

CLI tool to retrieve WHOIS information and Fraud Scores from IPs, including anonymized ones.

Browser Fingerprinting Framework in addition to bots and Ad blocking detection.